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05/27/2023
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
We investigate safe multi-agent reinforcement learning, where agents see...
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02/15/2023
Scalable Multi-Agent Reinforcement Learning with General Utilities
We study the scalable multi-agent reinforcement learning (MARL) with gen...
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11/19/2022
Non-stationary Risk-sensitive Reinforcement Learning: Near-optimal Dynamic Regret, Adaptive Detection, and Separation Design
We study risk-sensitive reinforcement learning (RL) based on an entropic...
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05/22/2022
Policy-based Primal-Dual Methods for Convex Constrained Markov Decision Processes
We study convex Constrained Markov Decision Processes (CMDPs) in which t...
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01/28/2022
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints
We consider primal-dual-based reinforcement learning (RL) in episodic co...
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10/19/2021
Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization
Entropy regularization is an efficient technique for encouraging explora...
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10/19/2021
On the Global Convergence of Momentum-based Policy Gradient
Policy gradient (PG) methods are popular and efficient for large-scale r...
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10/17/2021
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization
We study entropy-regularized constrained Markov decision processes (CMDP...
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08/25/2021
Ontology-Enhanced Slot Filling
Slot filling is a fundamental task in dialog state tracking in task-orie...
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05/11/2020